CN103222874B - The method of selection CT sectioning image and the method for structure CT 3-D view - Google Patents
The method of selection CT sectioning image and the method for structure CT 3-D view Download PDFInfo
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Abstract
The present invention entitled " method of selection CT sectioning image and the method for structure CT 3-D view ".The method that the present invention relates to choose the method for CT sectioning image and build CT 3-D view.The method of described selection CT sectioning image includes: if there is not the sectioning image with target breathing phases in all sectioning images at certain berth, then: determine the target respiratory characteristic value corresponding to target breathing phases according to the respiratory movement curve of scanned patient；All sectioning images at this berth are searched for the sectioning image that respiratory characteristic value is close with target respiratory characteristic value, as candidate's sectioning image；And according to the respiratory characteristic value difference between respiratory characteristic value and the target respiratory characteristic value of each candidate's sectioning image image difference between different and/or each candidate's sectioning image and reference slice image, from candidate's sectioning image, select a sectioning image for building the CT 3-D view for this target breathing phases.By the invention it is possible to the defect being reduced or eliminated in the CT 3-D view caused owing to sample rate is not enough.
Description
Technical field
The present invention relates to CT (Computerized tomography, computed tomography) field,
Method and the method for the described selection CT sectioning image of use more particularly to selection CT sectioning image
The method building CT 3-D view.
Background technology
During freely breathing CT scan, the respiratory movement of patient may result in thoracic cavity and upper abdomen
The notable distortion of the objective contour of tumor in the 3D rendering in portion.In order to eliminate or reduce patient's
The artifact that respiratory movement the causes impact on thorax abdomen internal organs CT scan, reaches Accurate Diagnosis and controls
The purpose treated, it is proposed that the concept of four-dimensional CT (4D CT).4D CT technology is widely used to
The treatment simulation of thorax abdomen cancer radiotherapeutic methods.4D CT can be by each berth (Z-direction)
Place over-sampling CT cuts into slices, then whole images (section) is chosen to correspondence shape of not sharing a common fate
Multiple CT volumes of state realize.Each CT series (volume) is the 3D of specific breathing state
Image, each 3D rendering is that (each berth one is cut by the stacked slice selected from different berths
Sheet) formed.Fig. 1 schematically shows this selection mechanism.
The two kinds of 4D CT method of current research, a kind of be 4D CT based on external equipment,
Another kind is without equipment 4D CT method.Method based on external equipment is to utilize outside breath signal
Advanced 4D CT (A4D CT) be representative, without device, method with based on patient's internal anatomy tie
The 4D CT selection of structure is representative (without equipment 4D, i.e. D4D), and its breath signal is from patient
Internal image feature extraction is out.
Advanced 4D CT (A4D) has been widely used for respirometric removing, and it needs such as
RPM (Real-time Position Management, real time position manages) equipment (includes multiple
Miscellaneous hardware and software) external equipment monitor the respiratory movement of patient.A4D CT's is general
Process is: utilize the respiration monitoring system being connected with CT equipment to monitor trouble when image acquisition
The respiratory movement of person, synchronous acquisition CT image and breath signal, on the every layer of CT image gathered
All " iron " temporal information (i.e. breathing phases) residing in the breathing cycle, then by breathing phase
All CT images are grouped and three-dimensional reconstruction by position respectively, the graphics of the most each breathing phases
As constituting a time dependent three-dimensional image sequence, i.e. 4D CT.
Existing A4D CT system mainly use spirometer to measure the respiratory capacity of patient, with red
Outer camera head measures patient body-surface with breathing the difference in height risen and fallen, or with pressure transducer etc.
Measure the pressure differential that patient respiratory causes, these measurement signals are converted to respiratory cycle signals.Adopt
The mode of collection CT image uses film mode (i.e. CINE pattern), mostly at each scanning berth
It is carried out continuously CT image acquisition during being in certain persistent period, completes once at a berth
After CINE Mode scans, CT bed marches to next scanning berth, repeats same CINE
Mode scans, is repeated, and scans in the range of only until covering whole needs.
Recently, some are published without equipment 4D CT (D4D CT) method, the most representational
One is paper " the 4D CT sorting based on patient internal of Ruijiang Li
Anatomy (PHYSICS IN MEDICINE AND BIOLOGY, 54 (2009)
4821-4833)”.Li et al. is proposed a kind of picking method based on D4D CT in this article, logical
Cross to quote and this paper entirety is herein incorporated.Li et al. introduces four intemal anatomical features, i.e.
Body area, pulmonary's area, air content and pulmonary's density, and use be also called space correlation
Property measure the optimum internal feature selected in each berth position and based in selected optimum
Portion's feature generates respiratory curve to carry out 4D CT selection.The method need not outside monitoring of respiration
Equipment carrys out synchronously recording respiration motion, can be real in armarium while reducing cost
Existing.
Some prior aries of relevant 4D CT can also see U.S. Patent application
US20090225957, US20100202673, US20070286331 etc..
For 4D CT, sample rate is an important parameter, and more dense sampling means one
The individual breathing cycle is upper gathers more CT section, thus this for improve 4D selection degree of accuracy and
The image mismatch reduced between two neighbouring Z location (berth) is helpful.But,
In most of clinical 4D CT scan, make the sample rate can not be the closeest the most for various reasons
Collection, such as owing to reducing the needs of the x-ray dose to patient, or due to total CT number of slices
With the restriction of storage capacity, or owing to improving scanning and the needs of processing speed.Therefore, 4D CT
Section is sparse sampling mostly, the most often takes place along the mismatch of Z-direction, and this causes
Certain tumor's profiles defect or the fracture of certain organ surface, such as the circle institute in Fig. 2 A-2B
As mark.
Low sampling rate causes the impact of two aspects.On the one hand it is that sampled point is not in the whole breathing cycle
Foot.For example, it is assumed that be only less than the sampled point of ten, if exhaled one a breathing cycle
The suction cycle is divided into ten breathing phases, then at least one point must be had to be used as two and breathe phase
Position, therefore causes the mismatch of about 10% due to not enough sample rate.Second aspect is may
Cause more serious mismatch.It was found by the inventors of the present invention that the difference in a breathing cycle is exhaled
Inhaling at phase place, the translational speed of health or organ is different, especially in the interstage of exhalation
Place, the little difference of breathing phases is mobile corresponding to bigger organ (health).Therefore even for
For the whole breathing cycle, sample rate is high, but for special quick mobile phase,
This sample rate is the most sparse, as shown in Figure 3.Curve in Fig. 3 represents the breathing fortune of patient
Moving curve, multiple elliptical points represent the breathing extracted in every sectioning image at a berth
Data, wherein, vertical coordinate represents the respiratory characteristic value that extracts from sectioning image, and (i.e. patient exhales
The amplitude of organ motion during suction), abscissa represents that time when scanning this sectioning image is (right
Should be in breathing phases).As we are from seen in fig. 3, at the mid portion in exhalation stage, breathe
Eigenvalue change is very fast (as shown in red circle), and therefore sample rate seems especially in these places
Not enough.By observing CT 3-D view, it has been found that 3D rendering mismatch occurs mainly in these feelings
Under shape.
As it is shown on figure 3, little phase error (difference of 3%) can cause big amplitude difference (31
The difference of %), therefore, the CT for two adjacent berths (Z) cuts into slices, when they stackings
During to CT 3-D view, if there being little phase offset between the two sample, then selected two
Individual figure is likely to be of visibly different outward appearance, then this can cause in 3D rendering result in the z-direction
Obvious mismatch.
Summary of the invention
The present invention provides a kind of virtual Interpolation compensation technology, and it can be made by sparse sampling by compensating
The defect become successfully improves the selection result performance of 4D CT.
According to an aspect of the present invention, it is provided that a kind of method for choosing CT sectioning image, should
Method includes:
Determine respiratory characteristic value and the breathing phases of each sectioning image；
For target breathing phases, in the multiple sectioning images at each berth, sort out has institute
The sectioning image stating target breathing phases is three-dimensional for building the CT for this target breathing phases
Image, and
If all sectioning images at certain berth not existing there is described target breathing phases
Sectioning image, then:
Respiratory movement curve according to scanned patient determines that described target breathing phases institute is right
The target respiratory characteristic value answered；
All sectioning images at this berth are searched for respiratory characteristic value exhale with described target
Inhale the sectioning image that eigenvalue is close, as candidate's sectioning image；And
Respiratory characteristic value according to each candidate's sectioning image and described target respiratory characteristic value
Between respiratory characteristic value difference is different and/or between each candidate's sectioning image and reference slice image
Image difference, selects a sectioning image for building for this from described candidate's sectioning image
The CT 3-D view of target breathing phases.
According to one embodiment of present invention, according to the respiratory characteristic value of each candidate's sectioning image with
Respiratory characteristic value difference between described target respiratory characteristic value is different and/or each candidate's sectioning image with
Image difference between reference slice image, selects a slice map from described candidate's sectioning image
As including any one in following process:
Its respiratory characteristic value and described target respiratory characteristic value is selected from described candidate's sectioning image
Between the different minimum of respiratory characteristic value difference sectioning image for build for this target breathe phase
The CT 3-D view of position；
Select the image difference between reference slice image minimum from described candidate's sectioning image
Sectioning image for building for the CT 3-D view of this target breathing phases；And
Select described respiratory characteristic value difference different from described candidate's sectioning image and described image difference
The sectioning image of the comprehensive differences value minimum combined breathes phase for building for this target
The CT 3-D view of position.
According to one embodiment of present invention, below all sectioning images at this berth select
Such first reference slice image and the second reference slice image are as described reference slice image:
First reference slice image and the second reference slice image are that adjacent on sweep time two cut
Picture, and the virtual scan time corresponding with target breathing phases be positioned at the first reference slice
Between sweep time and the sweep time of the second reference slice image of image.
According to one embodiment of present invention, select and reference slice from described candidate's sectioning image
The sectioning image of the image difference minimum between image is for building for this target breathing phases
CT 3-D view include:
For each candidate's sectioning image, calculate this candidate's sectioning image and the first reference slice respectively
The first image difference between image and and the second reference slice image between the second image difference
Different；
For each candidate's sectioning image, the first image difference and the second image difference are multiplied by respectively
Respective weighted value；
For each candidate's sectioning image, the first image difference after being multiplied by respective weighted value and
Second image difference select bigger one cut with reference as described in this candidate's sectioning image
Image difference between picture；And
Image difference described in selecting from described candidate's sectioning image and between reference slice image
Minimum sectioning image is for building the CT 3-D view for this target breathing phases.
According to one embodiment of present invention, from described candidate's sectioning image, described breathing spy is selected
The minimum sectioning image of comprehensive differences value that value indicative difference and described image difference combine with
Include in building the CT 3-D view for this target breathing phases:
For each candidate's sectioning image, calculate respiratory characteristic value and the target of this candidate's sectioning image
Respiratory characteristic value difference between respiratory characteristic value is different；
It is normalized the described respiratory characteristic value difference of all candidate's sectioning images is different, with
Different to the normalization respiratory characteristic value difference of each candidate's sectioning image；
For each candidate's sectioning image, calculate this candidate's sectioning image and the first reference slice respectively
The first image difference between image and and the second reference slice image between the second image difference
Different；
For each candidate's sectioning image, the first image difference and the second image difference are multiplied by respectively
Respective weighted value；
For each candidate's sectioning image, the first image difference after being multiplied by respective weighted value and
Second image difference select bigger one cut with reference as described in this candidate's sectioning image
Image difference between picture；
Image difference described in all candidate's sectioning images and between reference slice image is carried out
Normalized, to obtain the normalized image difference of each candidate's sectioning image；
By different for the normalization respiratory characteristic value difference of each candidate's sectioning image and this candidate's sectioning image
Normalized image difference be added with the comprehensive differences value obtaining each candidate's sectioning image；And
Candidate's sectioning image that comprehensive differences value is minimum is selected from described candidate's sectioning image
For building the CT 3-D view for this target breathing phases.
According to one embodiment of present invention, the weighted value of the first image difference and the second image difference
Weighted value and be 1, and the respiratory characteristic value of the first reference slice image and target breathe spy
Difference between value indicative is the biggest, and the weighted value of the first image difference is the least, and the second reference is cut
Difference between respiratory characteristic value and the target respiratory characteristic value of picture is the biggest, the second image difference
Weighted value the least.
According to one embodiment of present invention, described first and second reference slice images are included in
In described candidate's sectioning image.
According to another aspect of the invention, it is provided that a kind of method for building CT 3-D view,
The method includes:
Utilize the method for choosing CT sectioning image as above, for target breathing phases
In multiple sectioning images at each berth, sort out is for building for this target breathing phases
The sectioning image of CT 3-D view；And
The sectioning image using institute's sort out builds CT 3-D view.
Pass through said method, it is possible to reduce or elimination 4D CT causes owing to sample rate is not enough
Defect in CT 3-D view.
Accompanying drawing explanation
In order to be best understood from content of this disclosure, following below with reference to combine that accompanying drawing carried out
Describe, in the accompanying drawings:
Fig. 1 is the schematic diagram of the CT sectioning image selection mechanism illustrating prior art；
Fig. 2 A-2B is to illustrate the defect in the CT 3-D view caused owing to sample rate is not enough
Schematic diagram；
Fig. 3 is to illustrate the schematic diagram of sample rate deficiency situation in 4D CT；
Fig. 4 schematically shows and wherein will apply the example feelings of the sectioning image picking method of the present invention
Shape；And
Fig. 5 A-5B schematically show application the present invention technology obtained by CT 3-D view with
Do not apply the comparing result of the CT 3-D view of this technology.
Detailed description of the invention
The 4D CT that technical scheme relates to automatically compensate under condition of low sampling rate picks
The method selecting result.In an embodiment of the present invention, the present inventor proposes a kind of virtual slotting
Value compensation technique, it can successfully improve 4D CT by compensating the defect caused by sparse sampling
Selection result performance, this is particularly effective for the defect of second aspect above-mentioned.
The specific embodiment of the present invention be described more fully below, but the present invention be not limited to following specifically
Embodiment.
Fig. 4 schematically shows and wherein will apply the example feelings of the sectioning image picking method of the present invention
Shape.In the diagram, multiple elliptical points extract in representing every sectioning image at a certain berth
Corresponding breath data, wherein, vertical coordinate represents the respiratory characteristic value extracted from sectioning image
(i.e. the amplitude of organ motion during patient respiratory), when abscissa represents this sectioning image of scanning
Time (corresponding to breathing phases).It addition, for ease of observing, Fig. 4 also show by analyzing
The respiratory movement curve of the patient calculated and obtain.Here, it should be appreciated that patient in theory
Respiratory movement curve should be completely superposed with the curve connecting these multiple elliptical points, but actually due to figure
Error, the error of curve matching and other reason as processing causes in the diagram that both are the most complete
Overlap.
As it has been described above, when building CT 3-D view, the sectioning image obtained at each berth
In choose the sectioning image with identical target breathing phases, then these are had identical target
The sectioning image stacking of breathing phases is got up, and forms three-dimensional CT image, wherein, for each berth,
Choose a sectioning image with target breathing phases for building for this target breathing phases
Three-dimensional CT image.Usually, before starting selection, by analyzing exhaling of sectioning image
Inhale eigenvalue and determine the breathing phases of each sectioning image, and by via outside monitoring of respiration
Equipment is acquired or analyzes sectioning image and obtained the respiratory movement curve of patient.So-called breathing spy
Value indicative refers to the respiratory movement feelings of patient when characterizing this sectioning image of formation extracted from sectioning image
Particular marker with certain body part of the numerical value of condition, generally use patient or patient is due to patient
Respiratory movement and the amplitude of undulatory motion represent.The respiratory movement curve of so-called patient is to characterize to suffer from
The respiratory movement amplitude of person is relative to the relation curve of time.Extract respiratory characteristic value, determine slice map
The technology of the breathing phases of picture and the respiratory movement curve of acquisition patient is all those skilled in the art
Known to, do not repeat them here.
What the vertical coordinate of the elliptical point shown in Fig. 4 was corresponding is from berth CmEach sectioning image at place
The respiratory characteristic value extracted, what abscissa was corresponding is the sweep time of this sectioning image, wherein, knot
Close the respiratory movement curve of patient, it may be determined that go out the periodic relationship of sweep time and breathing phases,
And mark breathing phases on the horizontal scale.Assume that being now in the sectioning image at each berth selection exhales
Suction phase place is PTSectioning image build three-dimensional CT image.But, there is a case in which,
Berth CmIn all sectioning images at place, there is not breathing phases is PTSectioning image.Fig. 4
In sectioning image corresponding to A point be Sa, (breathing i.e. extracted from sectioning image is special for its vertical coordinate
Value indicative) it is Va, its abscissa (i.e. sweep time) is ta, corresponding breathing phases is Pa；And
The sectioning image that B point is corresponding is Sb, its vertical coordinate (the respiratory characteristic value i.e. extracted from sectioning image)
For Vb, its abscissa (i.e. sweep time) is tb, corresponding breathing phases is Pb.Such as Fig. 4
Shown in, PTIt is positioned at PaAnd PbBetween, but do not exist and PTCorresponding respiratory characteristic value, i.e. exists
Berth CmIt is P that formation breathing phases is not scanned at placeTSectioning image.Although Fig. 4 shows with round dot
Go out some C, but some C has been not to be formed by the respiratory characteristic data obtained from actual sectioning image
Point.As shown in Figure 4,3 interstages being positioned at exhalation of A, B, C, so, although but phase
Should the breathing phases value of they threes be more or less the same, respiratory characteristic value but differ greatly.If we
Select SaOr SbServe as and breathing phases PTCorresponding sectioning image builds breathes phase for target
Position PTThree-dimensional CT image, then can due to target breathing phases PTCorresponding respiratory characteristic value
Three-dimensional CT image result being obtained with the big difference of A point and B point exists mentioned above
Defect.And, if C point is located exactly at the centre position between A point and B point, then select Sa
Still S is selectedbIt is difficult to determine.Therefore, either SaOr SbIt not the most the slice map corresponding with C point
The good candidate section of picture.
The present invention provides a kind of method of selection sectioning image based on virtual interpolation technique to tackle
Situation described in face.Why it is referred to as " virtual interpolation technique ", is because the section according to the present invention
The sectioning image of image picking method sort out is the sectioning image S mated most with C pointc, just as in reality
Border section SaAnd SbBetween define S by interpolationcEqually, but the present invention is not really to utilize
Interpolation technique and obtain sectioning image Sc, but select from candidate's sectioning image according to certain standard
One sectioning image is as ScFor building for target breathing phases PTCT 3-D view.
Sectioning image picking method according to a preferred embodiment of the invention and CT tri-are described below in detail
Dimension picture construction method.
For the situation that there is not the sectioning image corresponding with target breathing phases above-mentioned, root
It not to directly select breathing phases and mesh according to the sectioning image picking method of the preferred embodiments of the present invention
The sectioning image S that mark breathing phases is closeaOr Sb, on the contrary, the method according to certain standard from candidate
Sectioning image selects a most suitable sectioning image.Firstly, it is necessary to from berth CmThe section at place
Image determines candidate's sectioning image.In a preferred embodiment of the invention, from berth CmPlace
Sectioning image in select respiratory characteristic value with corresponding to the target respiratory characteristic value of target breathing phases
Close (such as, respiratory characteristic value difference is different is less than 1 pixel, or for normalized respiratory characteristic
For value, this difference be less than 0.1) sectioning image as candidate's sectioning image.Here breathing is special
Value indicative difference refers to absolute value, the respiratory characteristic value of sectioning image to be investigated and target respiratory characteristic
The absolute value of the difference between value.Therefore, in order to determine candidate's sectioning image, first according to patient's
Respiratory movement curve determines and target breathing phases PTCorresponding target respiratory characteristic value VT.Then,
At berth CmThe sectioning image at place is searched for respiratory characteristic value and VTClose sectioning image is as candidate
Sectioning image.As shown in Figure 4, in this embodiment, corresponding with some D, E, F, G, H
Sectioning image Sd、Se、Sf、Sg、ShIt is selected as candidate's sectioning image.
In one embodiment of the invention, according to the respiratory characteristic value of each candidate's sectioning image with
Respiratory characteristic value difference between target respiratory characteristic value is different selects one from candidate's sectioning image
Sectioning image is for building the CT 3-D view for this target breathing phases.In this embodiment
In, calculate candidate sectioning image S respectivelyd、Se、Sf、Sg、ShRespective respiratory characteristic value Vd、
Ve、Vf、Vg、VhWith target respiratory characteristic value VTBetween respiratory characteristic value difference different (same, should
Value is absolute value), then select a sectioning image of the different minimum of respiratory characteristic value difference as Sc。
In another embodiment of the present invention, according to each candidate's sectioning image and reference slice figure
Image difference between Xiang, selects a sectioning image for building pin from candidate's sectioning image
CT 3-D view to this target breathing phases.Preferably, from berth CmAll slice maps at place
Below selecting in as, the first reference slice image and the second reference slice image are as reference
Sectioning image: the first reference slice image and the second reference slice image are adjacent on sweep time
Two sectioning images, and the virtual scan time corresponding with target breathing phases be positioned at first
Between sweep time and the sweep time of the second reference slice image of reference slice image.Such as Fig. 4
Shown in, target breathing phases PTCorresponding sweep time be tT.As shown in Figure 4, tTIt is positioned at Sa
T sweep timeaWith SbT sweep timebBetween.Therefore, in this embodiment, S is selecteda
And SbAs the first reference slice image and the second reference slice image.Then, image procossing is utilized
Technology obtains the first image difference between each candidate's sectioning image and the first reference slice image
And and the second reference slice image between the second image difference.For example, it is possible to first candidate is cut
Picture and the first and second reference slice image binaryzations, then cut the candidate after binaryzation
Picture data respectively with binaryzation after the first and second reference slice view data subtract each other come
To the first and second image differences.It should be appreciated that it may occur to persons skilled in the art that application
Other image procossing, analysis or comparison techniques obtain the first and second image differences.Due to this
A little image procossing, analysis or comparison techniques are all contents well-known to those skilled in the art, at this
Describe in detail the most one by one.Similarly, the first and second image differences here are all absolute values.
In one embodiment of the invention, by the first image difference of each candidate's sectioning image and
Second image difference is multiplied by respective weighted value, then takes in both bigger that as this candidate
Image difference between sectioning image and reference slice image.Having determined that the first and second references
In the case of sectioning image, the weighted value of the first image difference and the weighted value pair of the second image difference
It is constant for each sectioning image.First image difference and the respective power of the second image difference
The difference of the respiratory characteristic value of weight values and the first reference slice image and target respiratory characteristic value and
The respiratory characteristic value of the second reference slice image is relevant with the difference of target respiratory characteristic value.Typically
Ground, the weighted value of the first image difference and the weighted value of the second image difference and be 1.Further,
Difference between respiratory characteristic value and the target respiratory characteristic value of the first reference slice image is the biggest, the
The weighted value of one image difference is the least；Equally, the respiratory characteristic value of the second reference slice image with
Difference between target respiratory characteristic value is the biggest, and the weighted value of the second image difference is the least.One
In individual preferred embodiment, the weighted value of the first image difference and the breathing of the first reference slice image are special
Difference between value indicative and target respiratory characteristic value is inversely proportional to, equally, and the weight of the second image difference
Difference between value and the respiratory characteristic value of the second reference slice image and target respiratory characteristic value is also
It is inversely proportional to.Such as, the ratio of the weighted value of the first and second image differences is that the first and second references are cut
The inverse of the ratio of the difference between respiratory characteristic value and the target respiratory characteristic value of picture.This area
Skilled artisan understands that, between the respiratory characteristic value difference of weighted value and reference slice image is different
Relation can be other situation, as long as weighted value can suitably reflect two reference slice figures
Effect as the different components played in selection process.
After determining the image difference value of each candidate's sectioning image, from candidate image, select figure
As a sectioning image of difference value minimum is as Sc。
In another embodiment of the present invention, according to the respiratory characteristic value of each candidate's sectioning image with
Different and each candidate's sectioning image of respiratory characteristic value difference between target respiratory characteristic value is cut with reference
Both image differences between picture, select a sectioning image from candidate's sectioning image and work as
Make Sc, for building the CT 3-D view for this target breathing phases.Preferably, from institute
State and candidate's sectioning image selects the different and described image difference of described respiratory characteristic value difference combine
Minimum sectioning image is used as Sc.Specifically, it is each candidate's sectioning image as stated above
Calculate that respiratory characteristic value difference is different and image difference.Then, the breathing to all candidate's sectioning images
Eigenvalue difference is normalized, to obtain the normalization breathing spy of each candidate's sectioning image
Value indicative difference；And to all candidate's sectioning images and image difference between reference slice image
It is normalized, to obtain the normalized image difference of each candidate's sectioning image.Normalization
A kind of data processing method that treatment technology is well known in, does not repeats them here.Afterwards,
By different for the normalization respiratory characteristic value difference of each candidate's sectioning image returning with this candidate's sectioning image
One changes image difference is added to obtain the comprehensive differences value of each candidate's sectioning image, then the most each
The comprehensive differences value of candidate's sectioning image also therefrom selects minimum that slice map of comprehensive differences value
As Sc。
In the above description, although by the first reference slice image SaWith the second reference slice image
SbIt is described as being not belonging to candidate's sectioning image, but it is to be understood that, SaAnd SbIt can be reference
Sectioning image, is again candidate's sectioning image.
For target breathing phases PT, one suitable sectioning image of sort out at each berth
After, use these sectioning images of sort out to build the CT graphics for this target breathing phases
Picture.
The method of selection CT sectioning image described above and the method for structure CT 3-D view
In, utilize respiratory characteristic value difference criteria and/or image difference standard sort out to meet to greatest extent
Virtual sliced sheet image ScSectioning image, i.e. making selected sectioning image seems SaAnd SbIt
Between sectioning image so that lacking in the CT 3-D view caused owing to sample rate is not enough
Fall into and greatly reduce.Fig. 5 A-5B schematically shows the CT tri-obtained by the technology of the application present invention
Two groups of comparing results of the CT 3-D view tieing up image and do not apply this technology.As seen from Figure 5,
The organ contours deformation caused owing to sample rate is not enough and surface fracture are eliminated.
Pass through embodiments of the invention, it is possible to reduce the artifact in CT 3-D view, thus cause
The higher degree of belief of client's product to using the present invention.It addition, the said method of the present invention has been
Full automatic, it is not necessary to artificial treatment, the most fast and accurately.The present invention can improve 4D CT and produce
The efficiency of product and performance, either 4D CT based on external equipment is still without equipment 4D CT.This
Outward, inventor wants to be noted that and has found that the most former of sample rate is not enough and causes impact
Because being the most very difficult, it needs substantial amounts of experimental work, and only theoretical knowledge is inadequate.Cause
This, the present invention is based on substantial amounts of experiment, continuous print deep thought, the quilt through creative work
Conceive out.
Specific embodiment of the utility model is described already in connection with accompanying drawing although above-mentioned, but ability
Field technique personnel, can be to this practicality in the case of without departing from spirit and scope of the present utility model
Novel carry out various change, amendment and equivalent substitution.These changes, amendment and equivalent substitution are all anticipated
Within falling into the spirit and scope that appended claims is limited.
Claims (8)
1. for the method choosing CT sectioning image, including:
Determine respiratory characteristic value and the breathing phases of each sectioning image；
For target breathing phases, in the multiple sectioning images at each berth, sort out has
The sectioning image of described target breathing phases is for building the CT for this target breathing phases
3-D view, and
If all sectioning images at certain berth not existing there is described target breathing phases
Sectioning image, then:
Respiratory movement curve according to scanned patient determines that described target breathing phases institute is right
The target respiratory characteristic value answered；
All sectioning images at this berth are searched for respiratory characteristic value exhale with described target
Inhale the sectioning image that eigenvalue is close, as candidate's sectioning image；And
Respiratory characteristic value according to each candidate's sectioning image and described target respiratory characteristic value
Between respiratory characteristic value difference is different and/or between each candidate's sectioning image and reference slice image
Image difference, select from described candidate's sectioning image a sectioning image for build pin
CT 3-D view to this target breathing phases.
2. the method for claim 1, wherein according to the breathing of each candidate's sectioning image
Respiratory characteristic value difference between eigenvalue and described target respiratory characteristic value is different and/or each candidate
Image difference between sectioning image and reference slice image, selects from described candidate's sectioning image
Go out that a sectioning image includes in following process one:
Its respiratory characteristic value and described target respiratory characteristic value is selected from described candidate's sectioning image
Between the different minimum of respiratory characteristic value difference sectioning image for build breathe for this target
The CT 3-D view of phase place；
Select the image difference between reference slice image minimum from described candidate's sectioning image
Sectioning image for building for the CT 3-D view of this target breathing phases；And
Select described respiratory characteristic value difference different from described candidate's sectioning image and described image difference
The sectioning image of the comprehensive differences value minimum combined is breathed for this target for building
The CT 3-D view of phase place.
3. method as claimed in claim 2, wherein selects in all sectioning images at this berth
Select following such first reference slice image and the second reference slice image is cut as described reference
Picture: the first reference slice image and the second reference slice image are adjacent on sweep time
Two sectioning images, and the virtual scan time corresponding with target breathing phases be positioned at
Between sweep time and the sweep time of the second reference slice image of one reference slice image.
4. method as claimed in claim 3, wherein select from described candidate's sectioning image with
The sectioning image of the image difference minimum between reference slice image is for building for this mesh
The CT 3-D view of mark breathing phases includes:
For each candidate's sectioning image, calculate this candidate's sectioning image and first respectively with reference to cutting
The first image difference between picture and and the second reference slice image between the second figure
Aberration is different；
For each candidate's sectioning image, the first image difference and the second image difference are taken advantage of respectively
With respective weighted value；
For each candidate's sectioning image, the first image difference after being multiplied by respective weighted value
With the second image difference selects bigger one as described in this candidate's sectioning image with ginseng
Examine the image difference between sectioning image；And
Image difference described in selecting from described candidate's sectioning image and between reference slice image
Minimum sectioning image is for building the CT 3-D view for this target breathing phases.
5. method as claimed in claim 3, wherein selects institute from described candidate's sectioning image
State minimum the cutting of comprehensive differences value that the different and described image difference of respiratory characteristic value difference combines
Picture includes for the CT 3-D view of this target breathing phases for structure:
For each candidate's sectioning image, calculate respiratory characteristic value and the mesh of this candidate's sectioning image
Respiratory characteristic value difference between mark respiratory characteristic value is different；
It is normalized the described respiratory characteristic value difference of all candidate's sectioning images is different, with
The normalization respiratory characteristic value difference obtaining each candidate's sectioning image is different；
For each candidate's sectioning image, calculate this candidate's sectioning image and first respectively with reference to cutting
The first image difference between picture and and the second reference slice image between the second figure
Aberration is different；
For each candidate's sectioning image, the first image difference and the second image difference are taken advantage of respectively
With respective weighted value；
For each candidate's sectioning image, the first image difference after being multiplied by respective weighted value
With the second image difference selects bigger one as described in this candidate's sectioning image with ginseng
Examine the image difference between sectioning image；
Image difference described in all candidate's sectioning images and between reference slice image is carried out
Normalized, to obtain the normalized image difference of each candidate's sectioning image；
By different for the normalization respiratory characteristic value difference of each candidate's sectioning image and this candidate's sectioning image
Normalized image difference be added with the comprehensive differences value obtaining each candidate's sectioning image；And
Candidate's sectioning image that comprehensive differences value is minimum is selected from described candidate's sectioning image
For building the CT 3-D view for this target breathing phases.
6. the method as described in claim 4 or 5, wherein the weighted value of the first image difference and
The weighted value of the second image difference and be 1, and the respiratory characteristic value of the first reference slice image
And the difference between target respiratory characteristic value is the biggest, and the weighted value of the first image difference is the least,
And the difference between the respiratory characteristic value of the second reference slice image and target respiratory characteristic value is more
Greatly, the weighted value of the second image difference is the least.
7. method as claimed in claim 3, wherein said first and second reference slice images
It is included in described candidate's sectioning image.
8. for the method building CT 3-D view, including:
Utilize the side for choosing CT sectioning image as according to any one of claim 1-7
Method, for sort out in the target breathing phases multiple sectioning images at each berth for structure
Build the sectioning image of the CT 3-D view for this target breathing phases；And
The sectioning image using institute's sort out builds CT 3-D view.
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| US13/754,389 US8873819B2 (en) | 2012-01-31 | 2013-01-30 | Method for sorting CT image slices and method for constructing 3D CT image |
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| EP3349658B1 (en) * | 2015-09-16 | 2022-08-03 | Koninklijke Philips N.V. | Respiratory motion compensation for four-dimensional computed tomography imaging using ultrasound |
| DE102015218819A1 (en) * | 2015-09-30 | 2017-03-30 | Siemens Healthcare Gmbh | Method and system for determining a respiratory phase |
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